Title :
Notice of Retraction
Research on the roller bearing fault diagnosis based on Morphological Wavelet and LSSVM algorithm
Author :
Xing Han ; Jingqi Xiong ; Rui Sun ; Lili Wang ; Xiaopin Qin
Author_Institution :
Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In response to the roller bearing fault, the method of fault recognition of rolling bearings based on Morphological Wavelet and Least Squares Support Vector Machine was presented. Morphological Wavelet was applied to signal preprocessing, energy feature method to signal extraction. And then, we carry out the recognition of fault types using Least Square Support Vector Machine algorithm. After testing and simulation, the results showed that the fault diagnosis method based on Morphological Wavelet and Least Square Support Vector Machine can diagnose typical faults of the roller bearing effectively.
Keywords :
fault diagnosis; least squares approximations; mechanical engineering computing; rolling bearings; signal processing; support vector machines; LSSVM algorithm; energy feature method; fault recognition; fault type recognition; least squares support vector machine; morphological wavelet; roller bearing fault diagnosis; signal extraction; signal preprocessing; Circuit faults; Fault diagnosis; Feature extraction; Rolling bearings; Support vector machines; Wavelet analysis; Wavelet transforms; LSSVM; fault diagnosis; morphological wavelet; roller bearing;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
DOI :
10.1109/QR2MSE.2013.6625948
